Using AI in Clinical Practice: A Practical Guide for Radiologists
2022 ACR® Data Science Summit Pre-Event
Wednesday, June 8, 2022 | 10:00am–5:00pm ET | Gaylord Palms Resort & Convention Center in Kissimmee, Florida (Or Virtual)
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We look forward to seeing you on June 8th! Access live sessions here. If you experience issues logging in, please contact [email protected] or call 800-227-4630.
Agenda
10am: Welcome
10:15–11am: AI in Radiology: Climbing out of the “Trough of Disillusionment” and Embracing the “Slope of Enlightenment”
11–11:45am: What is AI Governance?
Speakers:
- Dania Daye, MD: What is AI Governance?
- Po-Hao Chen, MD, MBA: From AI to ROI - Building a Value Proposition
11:45–noon: Break
Noon–12:45pm: Choosing the Right AI Product: Considerations Before You Purchase
- Christoph Wald, MD, PhD, MBA, FACR: Needs Assessment and Asking the Right Questions
- Keith J. Dreyer, DO, PhD, FACR: What AI Products Are Out There?
12:45–1:45pm: Lunch
1:45–3pm: Evaluating AI Models for Your Practice
Speakers:
- Chintan Shah, MD: Does It Work? Building a Local Dataset to Test AI
- Bibb Allen Jr., MD, FACR: ACR AI Tools for Evaluating AI
- Tessa Cook, MD, PhD: Using AI Responsibly: Data Security, Patient Privacy and Safety
3–3:15pm: Break
3:15–5pm: Deploying and Monitoring AI Models: What to Expect
Speakers:
- John Mongan, MD: Infrastructure Considerations for AI Purchases
- Chris Treml: Integration with EMR and PACS
- Axel Wismueller, MD: What Could Go Wrong?
- Laura Coombs, PhD: Working with Assess AI
- Mike Tilkin: Other ACR Initiatives
5–5:15pm: Closing Remarks
Continuing Education
Earn 3.0 CME
Physician Accreditation Statement
The American College of Radiology® is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
Credit Designation Statement
The American College of Radiology designates this live activity for a maximum of 3.0 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with their participation in the activity.
For information about the accreditation of this program, please contact the ACR at [email protected].
KEYNOTE SESSION: Challenges and Opportunities in Machine Reading of Radiology Exams
Machine learning methods are enabling computers to interpret unstructured document content and perform real-world tasks. Our keynote will highlight the latest trends in deep learning models that utilize imaging, free text, and structured data to advance early diagnosis, treatment, and disease prevention.
Speaker: Regina Barzilay, PhD, Professor, Department of Electrical Engineering and Computer Science and Member, Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT)
SESSION 3: Current state of AI in Practice: Diverse Perspectives and Panel Discussion
Artificial intelligence in the health care industry is gaining traction. Hear from those with experience using AI in clinical care and hospital operations about the issues that will impact you most.
- Insight from the perspective of the radiologist, informatics/IT department, business leader and patient.
- How to begin using AI
- Looking for increased efficiency in operations and incorporating AI into workflows
Moderator: Amy Kotsenas, MD, ACR DSI Council Steering Committee Liaison and Associate Professor of Radiology at Mayo Clinic, Rochester
Presenters:
Melissa A. Davis, MD, MBA, Section Chief, Emergency Radiology, Yale University
Daniel Blezek, PhD, Associate Consultant, Department of Radiology, Mayo Clinic
David Andrews, Patient Advocate
Christoph Wald, MD, PhD, MBA, FACR, Chairman, Department of Radiology, Lahey Hospital & Medical Center, Professor of Radiology, Tufts University Medical School
KEYNOTE SESSION: Challenges and Opportunities in Machine Reading of Radiology Exams
Machine learning methods are enabling computers to interpret unstructured document content and perform real-world tasks. Our keynote will highlight the latest trends in deep learning models that utilize imaging, free text, and structured data to advance early diagnosis, treatment, and disease prevention.
Speaker: Regina Barzilay, PhD, Professor, Department of Electrical Engineering and Computer Science and Member, Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT)
SESSION 4: Current state of AI in Practice: Diverse Perspectives and Panel Discussion
Artificial intelligence in the health care industry is gaining traction. Hear from those with experience using AI in clinical care and hospital operations about the issues that will impact you most.
- Insight from the perspective of the radiologist, informatics/IT department, business leader and patient.
- How to begin using AI
- Looking for increased efficiency in operations and incorporating AI into workflows
Moderator: Amy Kotsenas, MD, ACR DSI Council Steering Committee Liaison and Associate Professor of Radiology at Mayo Clinic, Rochester
Presenters:
Melissa A. Davis, MD, MBA, Section Chief, Emergency Radiology, Yale University
Daniel Blezek, PhD, Associate Consultant, Department of Radiology, Mayo Clinic
David Andrews, Patient Advocate
Christoph Wald, MD, PhD, MBA, FACR, Chairman, Department of Radiology, Lahey Hospital & Medical Center, Professor of Radiology, Tufts University Medical School
Register before it's too late!
Keynote
Regina Barzilay, MD, PhD
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Earn 5.25 CME
The American College of Radiology is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.